{"id":"W3025508716","doi":"10.3390/genes11050543","title":"Weighted Gene Correlation Network Meta-Analysis Reveals Functional Candidate Genes Associated with High- and Sub-Fertile Reproductive Performance in Beef Cattle","year":2020,"lang":"en","type":"article","venue":"Genes","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Gene; Candidate gene; Genetics; Single-nucleotide polymorphism; Indel; Gene regulatory network; Computational biology; Genotype; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001828052,0.0009954101,0.001392169,0.002634023,0.0004665731,0.001091506,0.0005470471,0.0004724133,0.001160318],"category_scores_gemma":[0.00231952,0.0002985021,0.002554529,0.002704534,0.0002910255,0.0004101926,0.0007490712,0.0005908317,0.0001481936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004216784,"about_ca_system_score_gemma":0.000690452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003565664,"about_ca_topic_score_gemma":0.004675095,"domain_scores_codex":[0.9989533,0.0003886112,0.00004374746,0.0004288897,0.00009445199,0.00009093681],"domain_scores_gemma":[0.9987625,0.000844154,0.0001461294,0.0000972017,0.00006889097,0.0000811149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001975002,0.0002225459,0.7832613,0.001749169,0.03621672,0.00103811,0.0003381627,0.05030865,0.05162289,0.002486615,0.003844759,0.06693598],"study_design_scores_gemma":[0.0001254777,0.000357682,0.7858822,0.0001826824,0.01870524,0.0009618259,0.0003523288,0.176034,0.004756072,0.005757496,0.006779186,0.0001058202],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322619,0.01686283,0.04029613,0.0005836803,0.0001021864,0.00004853421,0.008142529,0.000519133,0.00118319],"genre_scores_gemma":[0.9855003,0.001575295,0.007143478,0.0001132801,0.00003481041,0.00005494925,0.005133966,0.00006543269,0.0003785282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003565664,"threshold_uncertainty_score":0.009667754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383082749251285,"score_gpt":0.2151546301833143,"score_spread":0.1913238026908015,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}